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The gradient orientation pattern matching technique (GOPM) is a block matching technique based on gradient orientations. In this paper, we evaluate this method for stereo matching applications under various conditions that include irregular lighting, occlusion, image blurring, and noise. The performance of the GOPM is compared with that of the standard block matching technique with the sum-of-absolute...
In this research, we focus low illumination video image of "below 1 lux" obtained by normal type video camera, and we consider the method of image correction for moving-object detection by inter-frame differencing. The method of this research is the combination of gamma correction and denoising as the preparation of inter-frame differencing. By such method, the moving-object detection which...
The first (single-bit) feed-forward (FF) FIR DAC continuous-time (CT)-ΔΣ ADC is presented for cellular radio applications. It provides a robust loop delay compensation with no performance degradation in the presence of radio out-of-band blockers; a known drawback of FF CT-ΔΣ ADCs. At 20/30/40 MHz operation, the FOM is less than or equal to 36 fJ/conv. At 10 MHz operation, the FOM is 50 fJ/conv. The...
Noise robust compressive sensing algorithm is considered. This algorithm allows an efficient signal reconstruction in the presence of different types of noise due to the possibility to change minimization norm. For instance, the commonly used l1 and l2 norms, provide good results in case of Laplace and Gaussian noise. However, when the signal is corrupted by Cauchy or Cubic Gaussian noise, these norms...
Modern autofocus systems are known for their fast response speed and optimized routines of the image processing. Nevertheless, the bottleneck of the autofocus system development is the transformation of the technical specification into the design rules that strictly take in account the specifications and introduce a guarantee of the best performance. In this paper we propose a new approach in autofocus...
Due to its psychological and physiological interpretation of naturally occurring data, Nonnegative Matrix Factorization (NMF) has attracted considerable attention for learning effective representation for images. And its graph-regularized extensions have shown promising results by exploiting the low dimensional manifold structure of data. Actually, their performance can be further improved because...
A new algorithm is proposed for the detection and accurate localization of copy-move video forgeries. Major ingredients of the proposed algorithm are i) noise-resilient rotation-invariant features, ii) dense-field matching over the whole video by means of a suitably modified fast algorithm for approximate nearest neighbor search, iii) ad hoc fast post-processing for forgery detection and false alarm...
Among the many parameters of human life, which are subject to intensive monitoring, one can specify the frequency of of respiratory action. The measurement of such physical quantity can be performed directly by tracking the activity of the respiratory organs, as well as indirectly through the breathing frequency estimation based on the ECG signal. This paper presents a method to assess the respiratory...
Background modeling and subtraction is a classical topic in compute vision. Gaussian mixture modeling (GMM) is a popular choice for its capability of adaptation to background variations. Lots of improvements have been made to enhance the robustness by considering spatial consistency and temporal correlation. In this paper, we propose a sharable GMM based background subtraction approach. Firstly, a...
In this paper, we provide an efficient way to predict iterative belief propagation (BP) decoding thresholds of randomly punctured low-density parity-check (LDPC) code ensembles on the binary-input additive white Gaussian noise channel (AWGNC), given only the BP threshold of the mother code ensemble on the binary erasure channel (BEC) and the code design rate. We show that the predictions are accurate...
Recent years have shown increases in virtual 3D perception and applications, many of these applications require 3D model reconstruction from high quality LIDAR scans. High quality 3D models may be acquired from a collection of overlapping LIDAR scans which need to be registered or aligned to a common coordinate system. This paper investigates the use of a novel implementation of trilateration for...
For a team of mobile robots with limited onboard resources, we propose a partially decentralized implementation of an extended Kalman filter for cooperative localization. In the proposed algorithm, unlike a fully centralized scheme that requires, at each timestep, information from the entire team to be gathered together and be processed by a single device, we only require that the robots communicate...
Video watermarking plays a key role in copyright protection domain of today's world. In the following paper, a blind watermarking algorithm is being proposed in which the watermark information is being embedded by little alteration of some of the value of DCT coefficients of luminance part of video during encoding it in MPEG-2 style. It is obvious that for any type of watermarking the three parameters,...
Despite recent advances, robust automatic segmentation for vertebrae computed tomography (CT) image still presents considerable challenges, mainly due to its inherent limitations, such as topological variation, irregular boundaries (double boundary, weak boundary) and image noises, etc. Therefore, this paper proposes a novel automatically initialized level set approach based on region correlation,...
These days there is an increased risk of copyright violation of multimedia data that has become an important issue for content owners and service providers. Watermarking technology aims at asserting Intellectual Property Rights (IPR) of digital images by inserting a copyright identifier in the contents of the image, to achieve copyright protection. The dual scrambled watermark is embedded on the elements...
This paper presents a spatial domain image watermarking method based on regularized filter. In the proposed method, a watermark image is embedded into a host color image directly by modifying the blue color component. The watermarkmark strength is controlled by two factors, i.e. a constant value and the luminance within a local embedding area. The prediction of the original host image is obtained...
Noise is an impairment which often occurs in both film and digital video and severely degrades the viewing experience of the content. In this work, we propose a two-phase algorithm for film an video denoising. In the first phase, the concept of semi-local shrinkage functions is used to effectively separate noise from image structure. In the second phase, we show how to fuse the result images of the...
This paper presents a comparative analysis of well-known state estimation methods that are commonly used in real systems. The aim of this research is to measure and then evaluate the robustness (i.e., a measure of performance when a small and deliberate changes are made to the method conditions) of these methods against modeling uncertainties. The state estimation methods include the Kalman Filter,...
Adaptive software systems are designed to cope with unpredictable and evolving usage behaviors and environmental conditions. For these systems reasoning mechanisms are needed to drive evolution, which are usually based on models capturing relevant aspects of the running software. The continuous update of these models in evolving environments requires efficient learning procedures, having low overhead...
This paper presents a novel robust method of self-corrective Initial Alignment of a stationary SINS1 with respect to local-level frame (NED-frame) depending only on the output of a strap-down IMU2. The proposed method provides a superior performance compared to traditionally-known self-corrective initial alignment methods. The main contribution of this paper is the development of a new algorithm which...
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